Approximation Methods for Polynomial Optimization

Models, Algorithms, and Applications
2012
ISBN: 978-1-4614-3983-7
Verlag: Springer

Buch, Englisch, 124 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 213 g

Reihe: SpringerBriefs in Optimization

Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications.

This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science.

Zielgruppe

Research

Autoren/Hrsg.

Li, Zhening

Zhang, Shuzhong

He, Simai

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

1. Introduction.-2. Polynomial over the Euclidean Ball.- 3. Extensions of the Constraint Sets.- 4. Applications.- 5. Concluding Remarks.